Abstract
Volume rendering is an effective method for visualizing 3D data. However, it's still difficult to obtain an effective image, especially when there are complicated structures which may cause underexposure problems. Adjusting light sources and parameters adds computational cost, without alleviating the underexposure phenomenon. This paper presents the novel idea of applying lightness anchoring theory for volume visualization enhancement. An anchoring hypothesis, the Highest-Luminance-As-White rule, is adjusted to adapt our volume rendered image. After employing the lightness anchored optimization, underexposed areas can be revealed while still preserving the local depth relationship.
| Original language | English (US) |
|---|---|
| Title of host publication | CGI 2017 - Proceedings of the 2017 Computer Graphics International Conference |
| Publisher | Association for Computing Machinery |
| Volume | Part F128640 |
| ISBN (Electronic) | 9781450352284 |
| DOIs | |
| State | Published - Jun 27 2017 |
| Event | 2017 Computer Graphics International Conference, CGI 2017 - Yokohama, Japan Duration: Jun 27 2017 → Jun 30 2017 |
Other
| Other | 2017 Computer Graphics International Conference, CGI 2017 |
|---|---|
| Country | Japan |
| City | Yokohama |
| Period | 6/27/17 → 6/30/17 |
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Keywords
- Anchoring rule
- Perceived lightness
- Volume visualization
ASJC Scopus subject areas
- Human-Computer Interaction
- Computer Networks and Communications
- Computer Vision and Pattern Recognition
- Software
Cite this
Enhancing volume visualization with lightness anchoring theory. / Zheng, Lin; Ma, Kwan-Liu.
CGI 2017 - Proceedings of the 2017 Computer Graphics International Conference. Vol. Part F128640 Association for Computing Machinery, 2017. a20.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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TY - GEN
T1 - Enhancing volume visualization with lightness anchoring theory
AU - Zheng, Lin
AU - Ma, Kwan-Liu
PY - 2017/6/27
Y1 - 2017/6/27
N2 - Volume rendering is an effective method for visualizing 3D data. However, it's still difficult to obtain an effective image, especially when there are complicated structures which may cause underexposure problems. Adjusting light sources and parameters adds computational cost, without alleviating the underexposure phenomenon. This paper presents the novel idea of applying lightness anchoring theory for volume visualization enhancement. An anchoring hypothesis, the Highest-Luminance-As-White rule, is adjusted to adapt our volume rendered image. After employing the lightness anchored optimization, underexposed areas can be revealed while still preserving the local depth relationship.
AB - Volume rendering is an effective method for visualizing 3D data. However, it's still difficult to obtain an effective image, especially when there are complicated structures which may cause underexposure problems. Adjusting light sources and parameters adds computational cost, without alleviating the underexposure phenomenon. This paper presents the novel idea of applying lightness anchoring theory for volume visualization enhancement. An anchoring hypothesis, the Highest-Luminance-As-White rule, is adjusted to adapt our volume rendered image. After employing the lightness anchored optimization, underexposed areas can be revealed while still preserving the local depth relationship.
KW - Anchoring rule
KW - Perceived lightness
KW - Volume visualization
UR - http://www.scopus.com/inward/record.url?scp=85025441362&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85025441362&partnerID=8YFLogxK
U2 - 10.1145/3095140.3095160
DO - 10.1145/3095140.3095160
M3 - Conference contribution
AN - SCOPUS:85025441362
VL - Part F128640
BT - CGI 2017 - Proceedings of the 2017 Computer Graphics International Conference
PB - Association for Computing Machinery
ER -